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QueryThread

Know where your brand stands in AI-generated answers.

Every day, people ask ChatGPT, Claude, Perplexity, and Gemini which tools, services, and companies to use. QueryThread runs your real buyer prompts across those providers and tells you whether your brand is being mentioned, how often, and how you compare to competitors. It measures visibility - it does not guarantee position.

ChatGPTClaudePerplexityGemini
Monitors:
ChatGPT
Claude
Perplexity
Gemini

The shift that is already happening

Buyer behavior is moving faster than most marketing dashboards can capture.

AI has become a discovery layer

A growing share of product and service research begins not with a search engine result page, but with a direct question to an AI assistant. The user asks, the model answers with a short list of named options, and the conversation moves on. Your link does not need to rank - your brand name needs to be in the answer.

The AI short-list problem

When someone asks "what is the best project management tool for a remote team" or "which accounting software should a freelancer use," the AI produces a synthesized short-list - typically three to six brands. If your brand is not named, you are out of consideration before the user ever opens a browser tab. There is no page two of an AI answer.

Measurement is the first step

You cannot improve what you cannot see. QueryThread gives you a repeatable process: run the same set of buyer-intent prompts on a schedule, record which providers mentioned your brand, and track whether that changes over time. No invented confidence scores, no synthetic sentiment - only the raw signal from the model responses themselves.

How it looks in practice

A walkthrough using a mobile productivity app as an illustrative example.

Illustrative - not a real client case

Step 1 - The buyer asks AI

A freelancer types "best habit tracker app for staying productive when working from home" into ChatGPT. They are not searching for a link - they want a direct recommendation. The model names three to five apps in its answer.

Prompt type: category + persona + use case

Step 2 - QueryThread runs the prompt set

You configure your brand name ("HabitFlow"), list competitors to track, and submit a prompt set covering common buyer questions in your category. QueryThread fires each prompt across ChatGPT, Claude, Perplexity, and Gemini and records every response.

All four providers queried in parallel

Step 3 - You see the measurement

The dashboard shows HabitFlow's share of voice - say Claude mentioned it in 4 out of 8 prompts, ChatGPT in 2, Perplexity in 6, Gemini in 3. The leaderboard shows where HabitFlow ranks relative to the named competitors. No fabricated growth metrics - just the count from the model responses.

Data: mention counts, SOV per provider, citation domains

Key terms

The vocabulary of AI visibility, defined in plain language as we use it.

GEO - Generative Engine Optimization

The practice of shaping your content and online presence so that generative AI systems are more likely to surface your brand in their responses. Unlike traditional SEO, the goal is to appear in synthesized AI answers, not just search result links.

AEO - Answer Engine Optimization

A related discipline focused on structuring information so that AI assistants can accurately extract and cite it when answering user questions. Good AEO means your content is machine-readable and unambiguous.

SOV - Share of Voice

The percentage of AI responses - across all prompts and providers in a run - that mention your brand. If 30 out of 100 responses include your brand name, your SOV is 30%. QueryThread calculates this overall and per provider.

AI Visibility

How consistently your brand appears in the answers that AI assistants give to buyer-intent questions. High visibility means AI models reliably name your product or company when users ask about your category.

Citation

A source domain that an AI provider referenced in its response - typically a URL that the model drew on to compose its answer. QueryThread extracts citation domains from responses and ranks them by frequency.

What the platform measures

Every capability listed here is available today. Nothing on this page describes a roadmap item or a planned feature.

Track SOV

Overall share of voice across all providers and prompts, calculated from raw mention counts. No invented scores.

4 Engines

ChatGPT, Claude, Perplexity, and Gemini queried in parallel. Results isolated per provider so you can compare.

Leaderboard

Ranked view of your brand vs every tracked competitor, ordered by total AI mentions across all prompts.

Insights

Threshold-driven observations derived from your data - no AI verdicts, no invented confidence scores.

Citations

Source domains most frequently referenced by AI providers. Shows where content influence actually originates.

Trend

SOV plotted across every completed run. See direction and rate of change without a third-party tool.

What you get

The dashboard below is the same view your account displays. The data is illustrative.

Sample - illustrative data
QueryThread dashboard - Overview with share of voice, brand vs. competitors, and SOV over time (illustrative data)

Brand: HabitFlow (illustrative). Competitors: Streaks, Habitica, BePresent. Prompts fired across ChatGPT, Claude, Perplexity, and Gemini. Numbers are sample values only - not a real client result.

How it works

Configure your brand

Enter your brand name and any aliases the model might use. Add a list of competitors you want to track alongside your brand. This becomes the detection set for every run.

Set up your prompt set

A default set of buyer-intent prompts is provided. Edit them to match your market, your persona, and the specific questions your potential customers actually ask AI assistants. The prompt set is what gets fired across all active providers.

Review and track results

QueryThread runs every prompt across every active provider and builds your dashboard: SOV, per-provider breakdown, leaderboard, citation sources, and raw response text. Run the same set on a schedule and use the run history to compare results over time.

What QueryThread is not

Honest measurement means being clear about what the data does and does not tell you.

Not a ranking service

QueryThread does not submit content to AI providers on your behalf, does not optimize your pages for AI crawlers, and does not guarantee that your brand will appear in any AI-generated answer. The AI providers are independent systems we have no control over. We measure what they say - we do not influence it.

No fabricated metrics

You will not see a proprietary "AI score out of 100," a sentiment percentage, a GEO confidence interval, or any other metric that is not directly derivable from the raw response text. Every number in the dashboard traces back to a prompt, a provider response, and a mention count. If a number cannot be explained by the underlying data, it is not in the product.

A process guarantee, not a position guarantee

What QueryThread can offer is a repeatable measurement process. Run the same prompts at regular intervals and you will see whether your visibility is improving, stable, or declining. That signal - direction and rate of change across providers - is what you take into your content and positioning work. The interpretation and the action are yours to make.

Frequently asked questions

What is AI visibility and why does it matter?

AI visibility is how often your brand appears in the answers that AI assistants generate in response to buyer-intent questions. As more people ask AI tools which products, services, or companies to use - rather than clicking through search results - being absent from those answers means being removed from consideration before a potential customer ever visits your site.

How is share of voice calculated?

Share of voice (SOV) is the number of AI responses that mention your brand divided by the total number of responses in the run, expressed as a percentage. QueryThread calculates this overall across all providers and prompts, and also per individual provider so you can see where you are stronger or weaker.

Which AI providers does QueryThread cover?

QueryThread runs prompts across ChatGPT (OpenAI), Claude (Anthropic), Perplexity, and Gemini (Google). Each provider is queried independently. A provider only participates if its API key is configured - the platform degrades gracefully, meaning your metrics reflect the active providers rather than including empty data.

Can you guarantee that my brand will appear in AI answers?

No. QueryThread is a measurement tool, not a ranking or placement service. No tool can guarantee a position in an AI-generated answer - those answers are produced by external AI models we do not control. What QueryThread gives you is repeatable, comparable data so you can see whether your visibility is changing over time and make informed decisions about your content strategy.

What is a citation and why does it appear in the results?

A citation is a source domain that an AI provider referenced while composing its response - a URL the model used as evidence or context. QueryThread extracts and counts citation domains so you can see which sources are influencing AI answers in your category. If your domain appears frequently as a citation, it is a signal that AI models are drawing on your content.

How is this different from traditional SEO tracking?

Classic SEO tools measure keyword rankings in search engine result pages - links and positions in a list. AI visibility measurement captures something different: whether a generative AI model names your brand when synthesizing an answer. There is no page rank, no click-through rate, and no SERP position. The data model is prompt in, brand mentioned or not, how often, relative to what competitors.

How often should I run a check?

That depends on how actively you are publishing content or making positioning changes. A baseline run before any change, then a follow-up two to four weeks later, gives you a meaningful before/after comparison. Weekly cadence makes sense if you are running an active content program. QueryThread stores full run history so you can compare any two runs at any time.

Are my brand details or prompt data used to train AI models?

QueryThread calls third-party AI provider APIs to execute your prompts. Each provider has its own data usage policy for API calls - generally distinct from consumer product training. QueryThread itself does not use your brand data or prompt results to train any model.

How do I get access?

QueryThread is currently invite-only and in early access. You can sign up at the link below and the owner will review your request. There is no automated instant approval - access is reviewed manually.

Where are the pricing plans?

Pricing is not published on this page. If you want to discuss access or terms, reach out via the contact email below. All CTAs here are asynchronous - no booking links, no calendar widgets.

Access

Currently invite-only.

QueryThread is in early access. Sign up and the owner will review your request. There are no guarantees of position in AI responses - only honest, repeatable measurement. To discuss access or ask a question, reach out by email.